智能交通灯系统中雾计算适用的车辆信息安全采集协议研究

发布时间：2018-01-04 08:18

本文关键词：智能交通灯系统中雾计算适用的车辆信息安全采集协议研究　出处：《华东师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来,随着社会的发展,车辆数目不断增加,这使得交通拥堵成为了一个全球性问题。尤其在大城市里,出行高峰时段的交通拥堵已成为社会常态。·这种问题不仅会给出行的人带来经济损失和时间延误,而且还会给我们赖以生存的环境带来污染和资源浪费。在现阶段,来自各国的科研学者们已对此问题投入了大量的精力,致力于改善交通拥堵状况,进而提高交通运输效率。设计智能交通系统的目的就是为了缓解交通拥堵并提高交通效率,而交通灯控制系统是其中的重要组成部分。智能交通灯控制系统对城市交通的影响巨大。它通常是利用智能交通系统中的无线网络和传感器对交通信息进行收集,然后利用计算服务对数据进行分析从而制定相应的信号策略。然而,这种方式因为结构特性的原因而存在着缺陷,因此使得现存的智能交通灯控制系统面临着一些挑战,例如如何避免路边传感器的大量部署,如何抵抗恶意车辆的攻击以及怎样避免单点失效等。为了能够处理这些挑战,我们提出了两个基于车载自组织网络环境的雾计算适用智能交通灯安全控制方案,它们的安全性分别依赖于基于CDH问题的谜题难度和基于哈希碰撞问题的谜题难度。本文提出的两个方案均假设以交通灯作为雾计算设备,第一个方案是近期的一个用于抵抗拒绝服务攻击方案的简单扩展。在这个方案里,由一个交通灯产生一些拥有指定难度的基于CDH问题的谜题,然后通过基于位置加密的方式将这些谜题广播给附近的车辆。我们根据雾设备的特性表明了当车辆密度很高时这个方案将会是低效的。第二个方案是更加高效的并且是对雾设备友好的。一个交通灯只需要广播一个使用位置加密的基于哈希碰撞问题的谜题给附近车辆。这样即使车辆密度很高,交通灯仍然可以高效地对车辆进行有效性验证。
[Abstract]:In recent years, with the development of society, the number of vehicles has been increasing, which makes traffic congestion become a global problem, especially in big cities. Traffic jams during rush hours have become the norm in society. This problem will not only bring economic loss and time delay to people who travel. And it will also bring pollution and waste of resources to the environment on which we live. At this stage, researchers from all over the world have devoted a lot of attention to this problem, committed to improve traffic congestion. It is designed to alleviate traffic congestion and improve traffic efficiency. Traffic light control system is an important part of it. Intelligent traffic light control system has a great impact on urban traffic. It usually uses wireless network and sensors in intelligent transportation system to collect traffic information. . Then the data are analyzed by computing service to make the corresponding signal strategy. However, there are some defects in this method because of the structural characteristics. Therefore, the existing intelligent traffic light control systems face some challenges, such as how to avoid the deployment of a large number of roadside sensors. In order to deal with these challenges, we propose two intelligent traffic light safety control schemes for fog computing based on vehicle-borne ad hoc network environment. Their security depends on the puzzle difficulty based on CDH problem and the puzzle difficulty based on hash collision problem respectively. The two schemes proposed in this paper assume that traffic lights are used as fog computing equipment. The first is a recent simple extension to a denial-of-service attack scheme in which a traffic light creates a puzzle with a specified difficulty based on the CDH problem. Then we broadcast these puzzles to nearby vehicles based on location encryption. According to the characteristics of fog equipment, we show that this scheme will be inefficient when vehicle density is high. The second scheme is more efficient. And it's fog-friendly. A traffic light only needs to broadcast a location-encrypted riddle based on the hash collision problem to a nearby vehicle, even if the density of the vehicle is high. Traffic lights can still efficiently verify the effectiveness of vehicles.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN918;U495

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